juliensimon/brown-dwarf-catalog
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---
license: cc-by-4.0
pretty_name: "Ultracool and Brown Dwarf Catalog (40 pc)"
language:
- en
description: "Ultracool and brown dwarf catalog within 40 pc. JWST-relevant. Sourced via VizieR CDS Strasbourg."
task_categories:
- tabular-classification
tags:
- space
- brown-dwarf
- ultracool
- jwst
- stellar
- astronomy
- open-data
size_categories:
- 10K<n<100K
---
# Ultracool and Brown Dwarf Catalog (40 pc)
Comprehensive catalog of **14,168** ultracool and brown dwarfs within 40 parsecs,
highly relevant for JWST atmospheric characterization studies.
## Dataset description
Brown dwarfs are substellar objects too low in mass to sustain hydrogen fusion. Ultracool
dwarfs (spectral types M7 and later) bridge the gap between the lowest-mass stars and
giant planets. This volume-complete 40 pc sample from Sebastian et al. (2021) provides
the most comprehensive census of the solar neighborhood's ultracool population, including
L, T, and Y dwarfs ideal for JWST follow-up.
## Quick stats
- **14,168** ultracool dwarfs within 40 pc
- **14,168** with spectral type classification
- **14,168** with distance estimates
## Usage
```python
from datasets import load_dataset
ds = load_dataset("juliensimon/brown-dwarf-catalog", split="train")
df = ds.to_pandas()
# T and Y dwarfs (coldest brown dwarfs)
if "spectral_type" in df.columns:
cold = df[df["spectral_type"].str.startswith(("T", "Y"), na=False)]
print(f"{len(cold):,} T/Y dwarfs")
# Nearest brown dwarfs
if "distance_pc" in df.columns:
nearby = df.dropna(subset=["distance_pc"]).sort_values("distance_pc").head(20)
print(nearby[["ra_deg", "dec_deg", "distance_pc"]].to_string())
```
## Data source
Sebastian, D. et al. (2021), "The census of the solar neighbourhood ultracool dwarf
volume-complete 40 pc sample", A&A, 645, A100. Accessed via
[VizieR](https://vizier.cds.unistra.fr/), CDS Strasbourg.
## Pipeline
Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
## License
[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
提供机构:
juliensimon



